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Reliable Identification of Paediatric Sepsis Onset from EHR Data for AI Model Development

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By Cambra Lasaosa, Francisco Jose, Vizoso Exposito
| zenodo.org
This poster, presented at ESPID 2026 (The European Annual Meeting of the European Society for Paediatric Infectious Diseases) showcases research carried our within the PHEMS project on the reliable identification of paediatric sepsis onset using routinely collected Electronic Health Record (EHR) data. The study evaluates different operational definitions of sepsis to identify the most robust approach for generating accurately labelled datasets for artificial intelligence (AI) model development.
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